Data collection.  
In Section REF , we selected sets of
30 sketches with similar shapes and poses to designate as
the user input: examples of sketches from these sets are shown in Figure REF . To evaluate generation quality, we collected images that match the input sketches from LSUN [1]}. To retrieve matching images, we experimented with two sketch-image cross-domain matching methods. We applied both the SBIR method of Bui et al.  [2]} and chamfer distance [3]}. Both of these retrieval results are shown in Figure REF .
We observe that with chamfer distance, the retrieved images match poses of the sketches more faithfully. As a result, we adopt this method to generate our evaluation sets. However, we notice that there still exists outliers after the retrieval; hence, we hand-selected 2,500 images out of top 10,000 matches to curate the evaluation sets. A comparison between curated dataset and top chamfer matches are shown in Figure REF .
